An example of application of neural network is introduced. The back propagation (BP) model is applied to the weld bead visual inspection. The bead shape data are divided into three categories. The network weight data are formed through the learning process for each category. It is shown that the discrimination between the sound bead and the defect bead can be done properly if the selection of the network parameters and the learning process are made suitably.
Transactions of JWRI 21 (2), 215-222, 1992-12